UST AskNOC - Natural-Language Network Analytics Service

Getting answers from network data traditionally requires knowing the right tool, dashboard, or query language - creating a bottleneck where every question routes through a small group of NOC experts. AskNOC removes that bottleneck by letting anyone ask questions the way they naturally think, such as "show me the top 5 sites by downtime in the last 7 days across all regions."

AskNOC interprets the question, pulls the relevant data, and returns a clear, interactive visual - chart, table, or dashboard. This empowers more teams to self-serve insights, speeding up shift reviews, executive briefings, and day-to-day decision-making across operations.

Unlike generic BI tools with bolt-on natural language features, AskNOC is purpose-built for network operations. It uses domain-specific data models and NOC ontologies that understand network terminology, alarm hierarchies, and operational workflows out of the box. This means higher query accuracy for network-specific questions compared to general-purpose NL analytics platforms. Its cross-domain querying capability lets operators correlate data across multiple network management systems through a single conversational interface - eliminating the need to switch between tools like SolarWinds, Cisco DNA Center, or cloud-native monitoring platforms.

AskNOC is delivered as a professional service engagement with the following phases:

• Discovery and Scoping - An initial consultation to understand your network environment, data sources, team structure, and priority use cases. Expected duration: 1-2 weeks.
• Integration and Configuration - Connection to your existing network data sources (including platforms such as SolarWinds, Cisco DNA Center, AWS CloudWatch, Splunk, and ServiceNow), configuration of domain-specific data models, and setup of access controls. Expected duration: 2-4 weeks.
• Deployment and Training - Rollout to your operations teams with hands-on training sessions, documentation, and workflow integration guidance.
• Ongoing Managed Service - Continuous platform availability with support for new data sources, query refinement, and dashboard customization.

• Natural-language question-to-insight interface purpose-built for network operations
• Automatic generation of interactive charts and dashboards
• Cross-domain data access via a single conversational interface spanning tools like SolarWinds, Cisco DNA Center, AWS CloudWatch, and Splunk
• Follow-up and drill-down conversational queries with context retention
• Shareable, exportable visual insights for shift handovers and executive reviews

• Reduces analyst dependency for routine data and reporting requests
• Empowers more teams to self-serve network insights without technical training
• Speeds up executive and operational reviews with on-demand answers
• Lowers the technical barrier to accessing network data across multiple platforms
• Accelerates day-to-day operational decision-making

Daily NOC Shift Handovers - At shift change, the outgoing lead types a natural-language summary request (e.g., "summarize overnight alarms by severity and region"), receives an instant dashboard, and shares it with the incoming team - reducing handover preparation from manual report assembly to a single query.

Executive Performance Reviews - Operations leaders query network KPIs on demand during review meetings without waiting for analyst-prepared reports.

Service Trend Investigations - Engineers explore service degradation patterns through conversational follow-up queries, drilling down from regional overviews to specific site-level details.

Regional Operations Comparisons - Multi-site operators compare performance across geographies with a single question, identifying outliers instantly.

Buyers should have existing network data sources accessible via standard interfaces such as APIs, SNMP, or database connections. Compatible platforms include but are not limited to SolarWinds, Cisco DNA Center, AWS CloudWatch, Splunk, and ServiceNow. The engagement requires buyer-side assignment of a technical point of contact who can provide data access credentials and define initial use-case priorities. Specific integration requirements are confirmed during the discovery phase.